AI Technology Lead for Healthcare Innovation
6 days ago
About Ambience
">Ambience is pioneering the development of advanced AI systems that revolutionize healthcare and medicine. As healthcare costs skyrocket to 17.3% of the US GDP, and a projected shortage of 100,000 physicians looms within the next decade, the need for AI has never been more critical.
">Our vision is to empower every healthcare worker with an AI co-pilot, augmenting their capabilities to deliver higher quality care at a lower cost. We believe that by harnessing the power of AI, we can improve the experience for everyone involved in the healthcare ecosystem.
">Based in San Francisco, Ambience has secured $100M in funding from top investors, including Kleiner Perkins, OpenAI Startup Fund, Andreessen Horowitz, Optum Ventures, Human Capital, and Martin Ventures. We collaborate with leading AI experts like Jeff Dean, Richard Socher, Pieter Abbeel, and AIX Ventures.
">The Role
">We seek a highly skilled AI Technology Lead for Healthcare Innovation, who will own significant portions of our AI tech stack, driving strategic decisions and ensuring the highest standards of experimental rigor. You will work closely with our clinical team to prototype and deploy cutting-edge machine learning systems, spearheading the development of an AI doctor.
">In the first six months, you will lay the groundwork for long-term success by establishing AI strategy, developing tooling, and training the next generation of Ambience's foundation models tailored to medicine. As a technical leader, you will oversee every phase of critical AI initiatives – from system architecture to writing and deploying production-ready code.
">Your Key Responsibilities
">- ">
- Co-design Our AI Strategy: Collaborate with the clinical team to set technical direction, identify promising large language model (LLM) techniques, and determine impactful areas to invest in across annotation, evaluation, training, monitoring, and feedback loop pipelines.">
- Advance Our Medical Foundation Models: Prototype new model architectures, training regimes, and post-processing techniques to train the next generation of Ambience's foundational models tuned specifically for medicine, pushing the boundaries of what's possible in healthcare AI.">
- Develop Rigorous Evaluation Pipelines: Work with Clinical and Engineering teams to design and implement state-of-the-art offline and online model evaluation infrastructure. Identify relevant metrics to track and leverage end-user feedback to build a continuous learning loop.">
- Contribute to Building the Team: Leverage your expertise to help build a world-class research team, fostering a culture of innovation and excellence.">
Requirements
">We're seeking an experienced professional with:
">- ">
- 5+ years in a technical role as a software engineer or machine learning engineer/researcher, including 2+ years specifically in machine learning roles.">
- Mastery of ML fundamentals, including neural networks and transformers, experiment design, and evaluation metrics.">
- Strong software engineering skills in Python and deep learning frameworks like PyTorch, TensorFlow, or JAX.">
- Effective cross-functional collaboration and exceptional communication skills.">
- Experience working with LLMs and familiarity with techniques like prompting, chaining, retrieval-augmented generation (RAG), behavioral cloning, RLHF, etc.">
Compensation and Benefits
">Ambience offers a competitive salary of $250,000 - $300,000, along with significant equity. Additionally, we provide a comprehensive benefits package, including health, dental, and vision coverage, paid maternity/paternity leave, quarterly retreats, unlimited PTO, and a 401(k) plan. Join us in shaping the future of healthcare and medicine.
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